Abstract

Human decision making is a complex process. In the field of Artificial Intelligence, decision making is considered an essential aspect of autonomous agents. Research of human decision behaviour shows that emotions play a decisive role. We present a computational model for creating an emotional memory and an algorithm for decision making based on the collected information in the memory. We concentrate on simulating human behaviour as there is not always one perfect way to reach a goal but alternatives that are more advantageous. For evaluation purposes a gambling task, performed by real subjects, was created for the modelled agent. The results show that the decision behaviour of the modelled agent is comparable with real subjects.